Overview

Dataset statistics

Number of variables7
Number of observations10000
Missing cells44
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory644.5 KiB
Average record size in memory66.0 B

Variable types

Numeric2
Categorical2
Text2
DateTime1

Dataset

Description보령시에서 용역수의계약현황정보(관서명,계약방법,계약명,계약금액,계약일,계약상대자)에 관한 현황입니다.보다 자세한 사항은 보령시 계약과정정보공개시스템(http://contract.brcn.go.kr/)에서 확인하실 수 있습니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=327&beforeMenuCd=DOM_000000201001001000&publicdatapk=15090089

Alerts

계약방법 has constant value ""Constant
관서명 is highly imbalanced (66.5%)Imbalance
번호 has unique valuesUnique

Reproduction

Analysis started2024-01-09 20:44:07.854830
Analysis finished2024-01-09 20:44:09.265409
Duration1.41 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5217.4176
Minimum1
Maximum10434
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T05:44:09.342103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile526.95
Q12603.75
median5221.5
Q37823.5
95-th percentile9912.05
Maximum10434
Range10433
Interquartile range (IQR)5219.75

Descriptive statistics

Standard deviation3012.0812
Coefficient of variation (CV)0.57731266
Kurtosis-1.2018185
Mean5217.4176
Median Absolute Deviation (MAD)2609
Skewness-0.0014494815
Sum52174176
Variance9072633.2
MonotonicityNot monotonic
2024-01-10T05:44:09.468613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9924 1
 
< 0.1%
8897 1
 
< 0.1%
6211 1
 
< 0.1%
10218 1
 
< 0.1%
3142 1
 
< 0.1%
329 1
 
< 0.1%
1833 1
 
< 0.1%
9523 1
 
< 0.1%
2012 1
 
< 0.1%
3893 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
11 1
< 0.1%
ValueCountFrequency (%)
10434 1
< 0.1%
10433 1
< 0.1%
10432 1
< 0.1%
10431 1
< 0.1%
10430 1
< 0.1%
10429 1
< 0.1%
10428 1
< 0.1%
10427 1
< 0.1%
10426 1
< 0.1%
10425 1
< 0.1%

관서명
Categorical

IMBALANCE 

Distinct23
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
본청
8058 
보건소
 
275
농업기술센터
 
216
웅천읍
 
162
오천면
 
131
Other values (18)
1158 

Length

Max length9
Median length2
Mean length2.3358
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row본청
2nd row본청
3rd row남포면
4th row본청
5th row본청

Common Values

ValueCountFrequency (%)
본청 8058
80.6%
보건소 275
 
2.8%
농업기술센터 216
 
2.2%
웅천읍 162
 
1.6%
오천면 131
 
1.3%
주산면 118
 
1.2%
주교면 114
 
1.1%
남포면 94
 
0.9%
천북면 87
 
0.9%
대천5동 83
 
0.8%
Other values (13) 662
 
6.6%

Length

2024-01-10T05:44:09.592744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
본청 8058
80.6%
보건소 275
 
2.8%
농업기술센터 216
 
2.2%
웅천읍 162
 
1.6%
오천면 131
 
1.3%
주산면 118
 
1.2%
주교면 114
 
1.1%
남포면 94
 
0.9%
천북면 87
 
0.9%
대천5동 83
 
0.8%
Other values (13) 662
 
6.6%

계약방법
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
수의1인견적
10000 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row수의1인견적
2nd row수의1인견적
3rd row수의1인견적
4th row수의1인견적
5th row수의1인견적

Common Values

ValueCountFrequency (%)
수의1인견적 10000
100.0%

Length

2024-01-10T05:44:09.701076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:44:09.779414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수의1인견적 10000
100.0%
Distinct9698
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-01-10T05:44:10.002967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length49
Mean length25.3474
Min length5

Characters and Unicode

Total characters253474
Distinct characters819
Distinct categories13 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9450 ?
Unique (%)94.5%

Sample

1st row무창포 종합관리사 신축사업 기획설계용역
2nd row장고도 마을하수도 정비공사 폐기물처리 용역
3rd row달산1리 농로 진입도로 개설공사 외 1건 실시설계용역
4th row천수만지구 농어촌테마공원 해나루길 조성사업 실시설계 용역
5th row재해사전예방사업(보조) 실시설계용역(천북 낙동리외 2개소)
ValueCountFrequency (%)
실시설계용역 3381
 
6.9%
용역 2686
 
5.5%
1224
 
2.5%
실시설계 903
 
1.8%
611
 
1.2%
정비공사 481
 
1.0%
폐기물처리용역 477
 
1.0%
시행결의 387
 
0.8%
배수로 351
 
0.7%
설치공사 333
 
0.7%
Other values (9600) 38320
78.0%
2024-01-10T05:44:10.404701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
39154
 
15.4%
9127
 
3.6%
9092
 
3.6%
7646
 
3.0%
7231
 
2.9%
6891
 
2.7%
5927
 
2.3%
5359
 
2.1%
4782
 
1.9%
2 4686
 
1.8%
Other values (809) 153579
60.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 192533
76.0%
Space Separator 39154
 
15.4%
Decimal Number 14031
 
5.5%
Close Punctuation 2645
 
1.0%
Open Punctuation 2639
 
1.0%
Uppercase Letter 1172
 
0.5%
Other Punctuation 613
 
0.2%
Dash Punctuation 438
 
0.2%
Lowercase Letter 127
 
0.1%
Math Symbol 109
 
< 0.1%
Other values (3) 13
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
9127
 
4.7%
9092
 
4.7%
7646
 
4.0%
7231
 
3.8%
6891
 
3.6%
5927
 
3.1%
5359
 
2.8%
4782
 
2.5%
4489
 
2.3%
3501
 
1.8%
Other values (722) 128488
66.7%
Uppercase Letter
ValueCountFrequency (%)
C 133
11.3%
S 124
10.6%
I 109
 
9.3%
D 103
 
8.8%
B 102
 
8.7%
T 80
 
6.8%
V 71
 
6.1%
F 56
 
4.8%
P 49
 
4.2%
E 48
 
4.1%
Other values (15) 297
25.3%
Lowercase Letter
ValueCountFrequency (%)
o 18
14.2%
e 14
 
11.0%
c 12
 
9.4%
t 8
 
6.3%
y 7
 
5.5%
a 7
 
5.5%
i 7
 
5.5%
r 6
 
4.7%
l 6
 
4.7%
v 5
 
3.9%
Other values (14) 37
29.1%
Other Punctuation
ValueCountFrequency (%)
, 380
62.0%
. 72
 
11.7%
· 70
 
11.4%
/ 42
 
6.9%
" 33
 
5.4%
: 5
 
0.8%
! 4
 
0.7%
& 3
 
0.5%
@ 2
 
0.3%
; 1
 
0.2%
Decimal Number
ValueCountFrequency (%)
2 4686
33.4%
1 3024
21.6%
0 2595
18.5%
3 1079
 
7.7%
4 550
 
3.9%
5 506
 
3.6%
6 463
 
3.3%
9 387
 
2.8%
8 385
 
2.7%
7 356
 
2.5%
Close Punctuation
ValueCountFrequency (%)
) 2469
93.3%
] 79
 
3.0%
62
 
2.3%
33
 
1.2%
2
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 2463
93.3%
[ 78
 
3.0%
62
 
2.3%
34
 
1.3%
2
 
0.1%
Letter Number
ValueCountFrequency (%)
1
50.0%
1
50.0%
Space Separator
ValueCountFrequency (%)
39154
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 438
100.0%
Math Symbol
ValueCountFrequency (%)
~ 109
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 9
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 192533
76.0%
Common 59640
 
23.5%
Latin 1301
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
9127
 
4.7%
9092
 
4.7%
7646
 
4.0%
7231
 
3.8%
6891
 
3.6%
5927
 
3.1%
5359
 
2.8%
4782
 
2.5%
4489
 
2.3%
3501
 
1.8%
Other values (722) 128488
66.7%
Latin
ValueCountFrequency (%)
C 133
 
10.2%
S 124
 
9.5%
I 109
 
8.4%
D 103
 
7.9%
B 102
 
7.8%
T 80
 
6.1%
V 71
 
5.5%
F 56
 
4.3%
P 49
 
3.8%
E 48
 
3.7%
Other values (41) 426
32.7%
Common
ValueCountFrequency (%)
39154
65.7%
2 4686
 
7.9%
1 3024
 
5.1%
0 2595
 
4.4%
) 2469
 
4.1%
( 2463
 
4.1%
3 1079
 
1.8%
4 550
 
0.9%
5 506
 
0.8%
6 463
 
0.8%
Other values (26) 2651
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 192531
76.0%
ASCII 60673
 
23.9%
None 266
 
0.1%
Number Forms 2
 
< 0.1%
Compat Jamo 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
39154
64.5%
2 4686
 
7.7%
1 3024
 
5.0%
0 2595
 
4.3%
) 2469
 
4.1%
( 2463
 
4.1%
3 1079
 
1.8%
4 550
 
0.9%
5 506
 
0.8%
6 463
 
0.8%
Other values (67) 3684
 
6.1%
Hangul
ValueCountFrequency (%)
9127
 
4.7%
9092
 
4.7%
7646
 
4.0%
7231
 
3.8%
6891
 
3.6%
5927
 
3.1%
5359
 
2.8%
4782
 
2.5%
4489
 
2.3%
3501
 
1.8%
Other values (720) 128486
66.7%
None
ValueCountFrequency (%)
· 70
26.3%
62
23.3%
62
23.3%
34
12.8%
33
12.4%
2
 
0.8%
2
 
0.8%
1
 
0.4%
Number Forms
ValueCountFrequency (%)
1
50.0%
1
50.0%
Compat Jamo
ValueCountFrequency (%)
1
50.0%
1
50.0%

계약금액
Real number (ℝ)

Distinct3959
Distinct (%)39.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10420254
Minimum30000
Maximum1.01 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-01-10T05:44:10.536661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum30000
5-th percentile1100000
Q13060000
median6600000
Q313212750
95-th percentile19800000
Maximum1.01 × 109
Range1.00997 × 109
Interquartile range (IQR)10152750

Descriptive statistics

Standard deviation25134248
Coefficient of variation (CV)2.4120571
Kurtosis420.25021
Mean10420254
Median Absolute Deviation (MAD)4187500
Skewness17.046817
Sum1.0420254 × 1011
Variance6.3173043 × 1014
MonotonicityNot monotonic
2024-01-10T05:44:10.663696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19800000 180
 
1.8%
18000000 177
 
1.8%
13500000 60
 
0.6%
6000000 43
 
0.4%
9000000 43
 
0.4%
3600000 37
 
0.4%
3000000 34
 
0.3%
5000000 32
 
0.3%
18900000 32
 
0.3%
1100000 31
 
0.3%
Other values (3949) 9331
93.3%
ValueCountFrequency (%)
30000 1
 
< 0.1%
60000 1
 
< 0.1%
66000 2
< 0.1%
77000 3
< 0.1%
88000 3
< 0.1%
90200 1
 
< 0.1%
99000 2
< 0.1%
104500 1
 
< 0.1%
112700 1
 
< 0.1%
121000 1
 
< 0.1%
ValueCountFrequency (%)
1010000000 1
< 0.1%
550000000 1
< 0.1%
549500000 1
< 0.1%
497651000 1
< 0.1%
492500000 1
< 0.1%
474886000 1
< 0.1%
448000000 1
< 0.1%
446729000 1
< 0.1%
428000000 1
< 0.1%
410413000 1
< 0.1%
Distinct2282
Distinct (%)22.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2014-01-01 00:00:00
Maximum2023-11-02 00:00:00
2024-01-10T05:44:10.780514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:44:10.902009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct1556
Distinct (%)15.6%
Missing44
Missing (%)0.4%
Memory size156.2 KiB
2024-01-10T05:44:11.098678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length21
Mean length9.4154279
Min length2

Characters and Unicode

Total characters93740
Distinct characters571
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique842 ?
Unique (%)8.5%

Sample

1st row(주)강산종합건축사사무소
2nd row삼원환경산업(주)
3rd row대륙엔지니어링 주식회사
4th row(주)천마건설엔지니어링
5th row(주)대웅엔지니어링
ValueCountFrequency (%)
주식회사 1631
 
13.2%
주)대웅엔지니어링 438
 
3.5%
주)천마건설엔지니어링 430
 
3.5%
대림기술공사 407
 
3.3%
해솔이엔지주식회사 393
 
3.2%
대웅엔지니어링주식회사 377
 
3.0%
대륙엔지니어링 335
 
2.7%
주)보경엔지니어링 310
 
2.5%
삼원환경산업(주 272
 
2.2%
주)보령환경산업 258
 
2.1%
Other values (1603) 7544
60.9%
2024-01-10T05:44:11.427960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7077
 
7.5%
5883
 
6.3%
) 4778
 
5.1%
( 4761
 
5.1%
3490
 
3.7%
3217
 
3.4%
2874
 
3.1%
2670
 
2.8%
2502
 
2.7%
2479
 
2.6%
Other values (561) 54009
57.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 81173
86.6%
Close Punctuation 4778
 
5.1%
Open Punctuation 4761
 
5.1%
Space Separator 2439
 
2.6%
Uppercase Letter 496
 
0.5%
Decimal Number 51
 
0.1%
Other Punctuation 21
 
< 0.1%
Lowercase Letter 17
 
< 0.1%
Other Symbol 3
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
7077
 
8.7%
5883
 
7.2%
3490
 
4.3%
3217
 
4.0%
2874
 
3.5%
2670
 
3.3%
2502
 
3.1%
2479
 
3.1%
2449
 
3.0%
2361
 
2.9%
Other values (511) 46171
56.9%
Uppercase Letter
ValueCountFrequency (%)
E 113
22.8%
N 100
20.2%
C 97
19.6%
H 37
 
7.5%
A 24
 
4.8%
I 15
 
3.0%
S 14
 
2.8%
K 12
 
2.4%
G 12
 
2.4%
M 11
 
2.2%
Other values (12) 61
12.3%
Lowercase Letter
ValueCountFrequency (%)
e 3
17.6%
a 2
11.8%
h 2
11.8%
n 2
11.8%
g 2
11.8%
s 1
 
5.9%
w 1
 
5.9%
m 1
 
5.9%
r 1
 
5.9%
f 1
 
5.9%
Decimal Number
ValueCountFrequency (%)
1 22
43.1%
2 15
29.4%
0 4
 
7.8%
8 3
 
5.9%
9 3
 
5.9%
6 2
 
3.9%
4 1
 
2.0%
7 1
 
2.0%
Other Punctuation
ValueCountFrequency (%)
. 18
85.7%
1
 
4.8%
& 1
 
4.8%
, 1
 
4.8%
Close Punctuation
ValueCountFrequency (%)
) 4778
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4761
100.0%
Space Separator
ValueCountFrequency (%)
2439
100.0%
Other Symbol
ValueCountFrequency (%)
3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 81176
86.6%
Common 12051
 
12.9%
Latin 513
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
7077
 
8.7%
5883
 
7.2%
3490
 
4.3%
3217
 
4.0%
2874
 
3.5%
2670
 
3.3%
2502
 
3.1%
2479
 
3.1%
2449
 
3.0%
2361
 
2.9%
Other values (512) 46174
56.9%
Latin
ValueCountFrequency (%)
E 113
22.0%
N 100
19.5%
C 97
18.9%
H 37
 
7.2%
A 24
 
4.7%
I 15
 
2.9%
S 14
 
2.7%
K 12
 
2.3%
G 12
 
2.3%
M 11
 
2.1%
Other values (23) 78
15.2%
Common
ValueCountFrequency (%)
) 4778
39.6%
( 4761
39.5%
2439
20.2%
1 22
 
0.2%
. 18
 
0.1%
2 15
 
0.1%
0 4
 
< 0.1%
8 3
 
< 0.1%
9 3
 
< 0.1%
6 2
 
< 0.1%
Other values (6) 6
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 81172
86.6%
ASCII 12563
 
13.4%
None 4
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
7077
 
8.7%
5883
 
7.2%
3490
 
4.3%
3217
 
4.0%
2874
 
3.5%
2670
 
3.3%
2502
 
3.1%
2479
 
3.1%
2449
 
3.0%
2361
 
2.9%
Other values (510) 46170
56.9%
ASCII
ValueCountFrequency (%)
) 4778
38.0%
( 4761
37.9%
2439
19.4%
E 113
 
0.9%
N 100
 
0.8%
C 97
 
0.8%
H 37
 
0.3%
A 24
 
0.2%
1 22
 
0.2%
. 18
 
0.1%
Other values (38) 174
 
1.4%
None
ValueCountFrequency (%)
3
75.0%
1
 
25.0%
Compat Jamo
ValueCountFrequency (%)
1
100.0%

Interactions

2024-01-10T05:44:08.895567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:44:08.719554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:44:08.988653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:44:08.802763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T05:44:11.514988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호관서명계약금액
번호1.0000.2130.000
관서명0.2131.0000.086
계약금액0.0000.0861.000
2024-01-10T05:44:11.594986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호계약금액관서명
번호1.0000.1080.080
계약금액0.1081.0000.037
관서명0.0800.0371.000

Missing values

2024-01-10T05:44:09.109158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T05:44:09.213733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

번호관서명계약방법계약명계약금액계약일계약상대자
99239924본청수의1인견적무창포 종합관리사 신축사업 기획설계용역109940002023-04-13(주)강산종합건축사사무소
15551556본청수의1인견적장고도 마을하수도 정비공사 폐기물처리 용역263380002015-11-25삼원환경산업(주)
64406441남포면수의1인견적달산1리 농로 진입도로 개설공사 외 1건 실시설계용역21000002020-04-06대륙엔지니어링 주식회사
28352836본청수의1인견적천수만지구 농어촌테마공원 해나루길 조성사업 실시설계 용역88100002017-02-07(주)천마건설엔지니어링
29912992본청수의1인견적재해사전예방사업(보조) 실시설계용역(천북 낙동리외 2개소)141570002017-04-06(주)대웅엔지니어링
83118312본청수의1인견적2022년 도시계획정보체계(UPIS) DB보강사업 용역198000002022-01-13(주)정도유아이티
95929593본청수의1인견적주정차위반과태료 가상계좌수납시스템 유지관리18200002023-01-17(주)헥토파이낸셜
66606661본청수의1인견적공연계약[찾아가는 낭독회]149600002020-06-25책을 읽어주는 사람들
339340본청수의1인견적청소농공단지 시설보수공사 실시설계용역98200002014-04-07(주)대웅엔지니어링
86538654청소면수의1인견적재정1리(312) 사면 보강 공사 외 3건 실시설계용역32400002022-04-18대륙엔지니어링 주식회사
번호관서명계약방법계약명계약금액계약일계약상대자
89988999보건소수의1인견적보건기관 노후 전기시설 수리42900002022-08-08(주)우리전기
32943295농업기술센터수의1인견적2017년 벼 병해충 유인 항공방제 헬기임차 용역2687600002017-07-19(주) 헬리코리아
71077108본청수의1인견적대천19통(소3-73)도시계획도로개설 실시설계용역198000002021-01-05대림기술공사 주식회사
62286229본청수의1인견적모란공원 유택동산(산골장) 조성공사 실시설계용역17600002020-02-05(주)보경엔지니어링
42794280보건소수의1인견적장현 보건진료소 보수공사 실시설계 용역18850002018-05-30이성림건축사사무소
52865287본청수의1인견적동대18통(소2-7) 도시계획도로개설 실시설계용역119000002019-04-01해솔이엔지주식회사
87848785본청수의1인견적「2022년 보령시티투어 상품 개발·운영」계약90000002022-05-16(주)여행공방
60686069본청수의1인견적소도 해안 도로포장공사 실시설계용역56000002020-01-09(주)대풍
392393본청수의1인견적지방도 606호 가로수 전지.전정 사업 실시설계용역 의뢰12500002014-04-16안영산림엔지니어링(주)
1012610127본청수의1인견적「2023년 보령시청 정기 위험성평가」용역180000002023-06-13(주)대한산업안전본부